Results 81 to 90 of about 1,760,559 (295)
UML Class Diagram or Entity Relationship Diagram : An Object Relational Impedance Mismatch [PDF]
, 2013 It is now nearly 30 years since Peter Chen’s watershed paper “The Entity-Relationship Model –towards a Unified View of Data”. [1] The entity relationship model and variations and extensions to ithave been taught in colleges and universities for many ...
Byrne, Bernadette +1 more
core
arXiv, 2016 We provide a survey on relational models. Relational models describe complete networked {domains by taking into account global dependencies in the data}. Relational models can lead to more accurate predictions if compared to non-relational machine learning approaches.
arxiv
Advanced Electronic Materials, EarlyView.Hygroscopic hydrogels are capable of utilizing the moisture from air, which can transfer the gaseous water to liquid by a surface phase transition. Taking advantage of this water, sustainable water production, thermal management, and electricity generation can be realized.
Yujie Du +5 more
wiley +1 more source
User Defined Types and Nested Tables in Object Relational Databases [PDF]
, 2006 Bernadette Byrne, Mary Garvey, ‘User Defined Types and Nested Tables in Object Relational Databases’, paper presented at the United Kingdom Academy for Information Systems 2006: Putting Theory into Practice, Cheltenham, UK, 5-7 June, 2006.There has been ...
Byrne, Bernadette, Garvey, Mary
core
RelEx: A Model-Agnostic Relational Model Explainer [PDF]
arXiv, 2020 In recent years, considerable progress has been made on improving the interpretability of machine learning models. This is essential, as complex deep learning models with millions of parameters produce state of the art results, but it can be nearly impossible to explain their predictions. While various explainability techniques have achieved impressive
arxiv
CORSD: Class-Oriented Relational Self Distillation [PDF]
arXiv, 2023 Knowledge distillation conducts an effective model compression method while holding some limitations:(1) the feature based distillation methods only focus on distilling the feature map but are lack of transferring the relation of data examples; (2) the relational distillation methods are either limited to the handcrafted functions for relation ...
arxiv
Qualitative Probabilistic Relational Models [PDF]
, 2018 Probabilistic relational models (PRMs) were introduced to extend the modelling and reasoning capacities of Bayesian networks from propositional to relational domains. PRMs are typically learned from relational data, by extracting from these data both a dependency structure and its numerical parameters.
van der Gaag, L.C., Leray, Ph.
openaire +3 more sources
Distributing relational model transformation on MapReduce [PDF]
Journal of Systems and Software, 2018 MDE has been successfully adopted in the production of software for several domains. As the models that need to be handled in MDE grow in scale, it becomes necessary to design scalable algorithms for model transformation (MT) as well as suitable frameworks for storing and retrieving models efficiently. One way to cope with scalability is to exploit the
Amine Benelallam +3 more
openaire +5 more sources
Agribusiness, EarlyView.Abstract This study examines how European food companies can operationally leverage the value created by strategic alliances into commercially viable products. More importantly, it emphasizes that the effects of alliance portfolio diversity (APD) on radical innovation performance can be achieved not only directly, but also via moderating roles, that is,
María Ancín +2 more
wiley +1 more source
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data [PDF]
arXiv, 2022 Modeling spatial relationship in the data remains critical across many different tasks, such as image classification, semantic segmentation and protein structure understanding. Previous works often use a unified solution like relative positional encoding.
arxiv